Title :
Retrieving albedo in small sample size
Author :
Gao, Feng ; Strahler, Alan H. ; Lucht, Wolfgang ; Xia, Zong-guo ; Li, Xiaowen
Author_Institution :
Inst. of Geogr. & Limnology, Acad. Sinica, Nanjing, China
Abstract :
A new criteria for kernels´ selection in Ambrals model is provided. Instead of using “least square” methods, “least variance” of white albedo which derived from Tarantola´s information theory is used. Several tests showed “least variance” had many advantages. First, it is less sensitive to noise. Second, it operated well with a small sample size. Third, it is less sensitive to the sampling position
Keywords :
albedo; geophysical techniques; remote sensing; Ambrals model; Tarantola´s information theory; albedo; criteria; geophysical measurement technique; kernel selection; kernels´ selection; land surface; least variance; optical imaging; remote sensing; retrieval; small sample size; terrain mapping; white albedo; Bidirectional control; Geography; Information theory; Kernel; MODIS; Position measurement; Reflectivity; Sampling methods; Scattering; Sea surface;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702230
